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基于混合现实的手术机器人远程操作与可视化

Mixed reality based teleoperation and visualization of surgical robotics.

作者信息

Ai Letian, Kazanzides Peter, Azimi Ehsan

机构信息

The Laboratory for Computational Sensing and Robotics Johns Hopkins University Baltimore Maryland USA.

Department of Computer Science Johns Hopkins University Baltimore Maryland USA.

出版信息

Healthc Technol Lett. 2024 Mar 28;11(2-3):179-188. doi: 10.1049/htl2.12079. eCollection 2024 Apr-Jun.

Abstract

Surgical robotics has revolutionized the field of surgery, facilitating complex procedures in operating rooms. However, the current teleoperation systems often rely on bulky consoles, which limit the mobility of surgeons. This restriction reduces surgeons' awareness of the patient during procedures and narrows the range of implementation scenarios. To address these challenges, an alternative solution is proposed: a mixed reality-based teleoperation system. This system leverages hand gestures, head motion tracking, and speech commands to enable the teleoperation of surgical robots. The implementation focuses on the da Vinci research kit (dVRK) and utilizes the capabilities of Microsoft HoloLens 2. The system's effectiveness is evaluated through camera navigation tasks and peg transfer tasks. The results indicate that, in comparison to manipulator-based teleoperation, the system demonstrates comparable viability in endoscope teleoperation. However, it falls short in instrument teleoperation, highlighting the need for further improvements in hand gesture recognition and video display quality.

摘要

手术机器人技术彻底改变了外科手术领域,为手术室中的复杂手术提供了便利。然而,当前的远程操作系统通常依赖笨重的控制台,这限制了外科医生的移动性。这种限制降低了外科医生在手术过程中对患者的感知,缩小了实施场景的范围。为应对这些挑战,提出了一种替代解决方案:基于混合现实的远程操作系统。该系统利用手势、头部运动跟踪和语音命令来实现手术机器人的远程操作。实施重点放在达芬奇研究套件(dVRK)上,并利用微软HoloLens 2的功能。通过摄像头导航任务和钉转移任务对系统的有效性进行评估。结果表明,与基于操纵器的远程操作相比,该系统在内窥镜远程操作中表现出相当的可行性。然而,在器械远程操作方面存在不足,凸显了在手语识别和视频显示质量方面进一步改进的必要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18fc/11022216/c87aa1c5a45e/HTL2-11-179-g002.jpg

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